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Create app.py
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app.py
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import streamlit as st
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from transformers import pipeline
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# Initialize the text generation pipeline
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pipe = pipeline("text-generation", model="Qwen/Qwen2.5-0.5B-Instruct", device=-1)
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# Streamlit app
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st.title("Text Generation with Qwen Model")
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# Text input from the user
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user_input = st.text_input("Enter your message:", "Who are you?")
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# Generate text when the button is clicked
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if st.button("Generate"):
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messages = [{"role": "user", "content": user_input}]
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output = pipe(messages, max_new_tokens=50) # Adjust max_new_tokens as needed
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generated_text = output[0]['generated_text']
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# Display the generated text
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st.write("Generated Response:")
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st.write(generated_text)
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